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Computer Science

Ilmu Komputer

Computer Science studies the theoretical and practical foundations of computation — from algorithms and data structures to artificial intelligence and networks. Unlike Teknik Informatika (Informatics Engineering), which focuses more on software engineering, Computer Science emphasizes the science and theory behind computation itself.

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Level S1 · 4 years
Market demand Very high, and continuously increasing
Mid salary Rp 10–20 million /mo
01

Big Picture

DATA

Computer Science focuses on the theoretical and scientific foundations of computing: algorithms, discrete mathematics, programming language theory, artificial intelligence, and computer systems. You will spend more time learning the "why" and "how" computers work at a fundamental level, not just "how to build applications."

Core courses

  • ›Algorithms and Data Structures
  • ›Programming (C/C++, Java, Python)
  • ›Discrete Mathematics
  • ›Databases
  • ›Artificial Intelligence
  • ›Computer Networks
  • ›Software Engineering
  • ›Operating Systems
  • ›Computer Graphics
  • ›Machine Learning
WHO THIS FITS

A great fit if you enjoy logic, mathematics, and problem-solving. If you like solving algorithmic puzzles, wonder how AI can "think," or are drawn to the theory behind technology rather than just using it, Computer Science could be the right choice for you.

Education levels

how does it differ from other levels?
D3
A D3 program in computing (e.g., D3 Ilmu Komputer at USU or D3 Teknik Komputer) lasts 3 years and consists of approximately 60% practice and 40% theory. Graduates are better prepared for work as technicians or junior programmers, but the scope of theory is narrower compared to an S1. Some campuses offering this: USU, UTDI, Telkom University, UBSI.
S2 (Magister)
The Magister Ilmu Komputer (MIK) master's program lasts approximately 2 years and focuses on research and deep specialization. Students are expected to actively conduct research and write a thesis. Available at UI (since 1988), UGM, ITS, and several private universities. Suitable for those who want to delve into specific fields like AI, NLP, or computational theory, or pursue a career in academia.
S3 (Doktor)
The Doctoral Program in Computer Science lasts approximately 3-4 years, centering on independent research and dissertation writing. Available at ITS, UGM, Udinus, and UBL. Graduates are expected to make original contributions to the field of computer science. It is typically pursued by prospective lecturers, researchers, or research leaders in the technology industry.

Often confused with…

what's the difference?
vsTeknik Informatika
Teknik Informatika (Informatics Engineering) is more oriented toward engineering and software implementation; Computer Science places greater emphasis on the theory of computation, algorithms, and scientific research.
vsSistem Informasi
Sistem Informasi (Information Systems) focuses on using technology for business needs and organizational data management; Computer Science focuses on the scientific foundations of computing itself.
vsTeknologi Informasi
Teknologi Informasi (Information Technology) focuses on infrastructure, networks, and system administration; Computer Science leans more toward algorithm theory, AI, and computational research.

Myth vs Fact

MYTH Computer Science is just about knowing how to code
FACT Coding is only one tool. The core of Computer Science is understanding computational theory, algorithm design, and how to solve problems systematically, which goes far beyond simply writing code.
MYTH Computer Science graduates can only become programmers
FACT The career prospects are broad: data scientist, AI researcher, academic, IT consultant, product manager, cybersecurity specialist, and many more. The field continues to grow alongside technological advancements.
MYTH You must be a math expert since high school to get into Computer Science
FACT Mathematics is important, but many students develop their skills during their studies. What is more critical is logical thinking ability and perseverance in learning.
02

Toolkit & Prep

GUIDE

Personal hardware & software you need to prepare before classes start — requirements vary by program. Expensive, heavy-duty equipment is usually provided by the campus.

MINIMUM LAPTOP SPEC

Laptop with minimum Intel i5/AMD Ryzen 5 processor (or equivalent), RAM 8 GB (16 GB recommended), SSD 256 GB+. 14-15 inch screen sufficient for daily coursework.

ESTIMATED STARTUP BUDGET
Rp 8–15 million

A one-time purchase that lasts through your studies.

Laptop (Windows/Linux/macOS)
Minimum specs i5/Ryzen 5, RAM 8 GB, SSD 256 GB. Heavy AI/ML coursework, RAM 16 GB more comfortable.
Required
Stable internet connection
Course material, submissions, resources require online access.
Required
Python & IDE (VS Code / PyCharm)
Python main language in many courses. VS Code free and popular.
Required
Docker Desktop
Useful for networking, cloud computing courses, final project.
Optional
Cloud credits (AWS/GCP/Azure)
Some courses and projects need cloud resources. Many free education programs from major providers.
Optional
Git & GitHub account
Version control industry standard. Start using from beginning of studies.
Required
Tablet/stylus (for note-taking)
Useful for noting math and algorithm material, but not required.
Optional
03

Facility Checklist

GUIDE

Questions specific to Computer Science to bring to an open house or campus visit. Important facilities vary by program — these matter most.

Note: Myjor doesn't maintain a facilities database per campus. This is a tool for you to assess it yourself.

Does the campus have a dedicated AI/ML or data science lab with adequate GPUs?
Is there a computer networking lab with up-to-date practical equipment?
How is the access to digital libraries and international journals (IEEE, ACM, Springer)?
Does the campus provide a co-working space or comfortable group study rooms?
Is there a business incubator or innovation center for students who want to develop a startup?
Does the campus provide stable internet/wifi access across the entire campus area?
Are there MBKM (Merdeka Belajar-Kampus Merdeka) programs connected with the tech industry?
Are research labs open to S1 (bachelor's) students, or only for graduate students?
Is there a collaboration with cloud providers (AWS Academy, Google Cloud Education) for free cloud credits?
Does the campus have a student exchange or joint-degree program with foreign universities?

Tip: ask for a tour of the relevant labs/studios, not just the main building. Ask about access hours and whether undergrads can use the equipment.

04

Academic Quality

GUIDE

Three objective ways to assess a program's academic quality — including how to check them yourself.

A

Program accreditation status

Check the program's own accreditation rating (not just the campus's) on official sites. International accreditation is a plus for certain fields.

Unggul / A — top tier Baik Sekali / B Baik / C

Check at: BAN-PT (banpt.or.id) or the relevant LAM, & PDDIKTI (pddikti.kemdikbud.go.id).

B

Student–faculty ratio & how to calculate it

ratio = active students ÷ full-time faculty
Example: 600 students ÷ 25 faculty = 1 : 24
✓Ideal: ≈1:20 for STEM/science fields, ≈1:30 for social sciences/humanities (per Ministry of Education guidance).
!The smaller the second number, the more attention each student gets. Above 1:40 is worth flagging.
!Also check faculty qualifications (Master's/PhD) and whether there are industry practitioner lecturers.
C

Faculty research — relevant & current?

Look up faculty profiles and publications (Google Scholar / SINTA). For Computer Science, look for those researching currently relevant topics:

Artificial Intelligence and Machine LearningNatural Language Processing (NLP) and Information RetrievalComputer VisionReliable Software EngineeringComputer Systems and Computer ArchitectureDigital Libraries and Digital LearningE-Government and E-BusinessCybersecurityDistributed Computing and Cloud ComputingComputer Graphics and Data Visualization

E.g., is there faculty researching AI, or cancer-related topics? Active research topics signal the program keeps up with the field.

ASK AT THE OPEN HOUSE

"What's this program's student–faculty ratio? What research topics are faculty currently working on? What percentage of graduates find field-relevant jobs within 6 months?"

05

Partnerships

GUIDE

Campus partnerships heavily shape internship, research, and career paths. Which partners matter varies by program — here's what's relevant for Computer Science.

Bootcamp & certification partners
Is there a partnership with AWS Academy, Cisco NetAcad, Microsoft Imagine, Dicoding, or similar platforms that provide access to industry certifications?
Industry internship pathways
Are there internship pathways at research firms, partner labs, or technology startups — including through the MSIB/Studi Independen program?
Joint research with institutions
Is there joint research collaboration with BRIN, LIPI, or international universities that involves students?
Joint labs or dual-degree programs
Are there joint lab programs or dual-degree programs with partner research universities abroad?
Active MoUs
Ask for a list of active MoUs — not just logos on a brochure. Ask how many students are actually placed through these partnerships each year.

Ask for a list of official partners with active MoUs — not just logos in a brochure. Ask how many students are actually placed each year.

06

Career & Salary

DATA
Entry
0–2 years
Rp 5–8 million
per month
Mid
3–6 years
Rp 10–20 million
per month
Senior
7+ years
Rp 25–45 million
per month
Career pathsSalary range /mo
Software Engineer Rp 7–40 million
Data Scientist Rp 6–45 million
Machine Learning Engineer Rp 8–50 million
Cybersecurity Analyst Rp 6–35 million
DevOps Engineer Rp 8–40 million
AI/ML Researcher Rp 10–50 million
IT Consultant Rp 8–35 million
Product Manager (Tech) Rp 10–45 million
Data Analyst Rp 4–24 million
Lecturer/Researcher Rp 5–20 million

Sources: Myjor 2024 industry salary survey (n=4,200), BPS, and job portals. Figures are medians, influenced by city, company, and experience.

Sources & References

The career & salary data above traces back to its sources. Click to expand/collapse the source list.